GPU Containers with NVIDIA Container Toolkit Quiz

Answers and explanations appear as you take the quiz.

1. Which component normally manages the physical NVIDIA GPU at the kernel level?
   • The host driver
   • The CUDA container image alone
   • The model checkpoint
   • The Python package lockfile
2. What role does NVIDIA Container Toolkit provide?
   • A replacement GPU kernel driver stored in each image
   • Runtime integration that exposes devices and driver interfaces to containers
   • A framework-neutral model accuracy benchmark
   • A compiler that converts all Python into CUDA
3. Why can a container with CUDA libraries still fail to initialize the GPU?
   • CUDA libraries always replace the host driver
   • The container necessarily needs its own physical GPU
   • The host driver or runtime integration may be incompatible or missing
   • The model file does not contain a device node
4. What does seeing a GPU in a container prove?
   • That memory allocation can never fail
   • That the model's accuracy is acceptable
   • That CUDA and driver versions are identical
   • Device visibility, but not that every application kernel will run correctly
5. Why is updating CUDA packages inside an image different from updating the host driver?
   • Both update the same kernel module automatically
   • They are different software layers with different responsibilities
   • The container cannot contain any runtime libraries
   • Driver versions are determined by the model weights
6. Which test is stronger than checking device visibility alone?
   • Inspect the model filename
   • Read the image tag
   • Run a small representative framework operation on the GPU
   • Confirm the container starts without a GPU request
7. What should an incident record include for reproducibility?
   • Only the framework version and model architecture
   • Only the host driver and GPU model
   • Image tag and Python version without runtime configuration
   • Image digest, host driver, toolkit and runtime configuration
8. What does GPU containerization not provide by itself?
   • A fully independent hardware driver environment
   • Packaged user-space dependencies
   • A way to request devices at launch
   • An image filesystem